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question:how-can-we-achieve-fine-tuning-and-adaptation-without-labor-intensive-handcraft-methods-typical-of-ages-gone-by

How can we achieve fine tuning and adaptation without labor-intensive handcraft methods typical of ages gone by?

The central engineering challenge Alexander poses given the modern labor-material ratio.

Neighborhood — ranked by edge-count

Claims (1)

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Achieving living architecture will require primarily process-based methods that use high technology to give processes not components, creating sophisticated elements fast and cheaply while fitting local circumstance
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Alexander's core prescriptive claim for 21st-century construction technology.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Fine Tuning and Adaptationconcept0.798
The patient, hand-guided adjustment of shape and dimension to each unique condition in a building; requires materials that make it economical and easy.
How then — realistically — in the modern world can we get the subtle fine detail of adaptation, variation, and harmony which makes every component slightly different, and yet do it at the break-neck speed of modern giant projects and in the colossal quantities required for the largest projects?question0.793
The central practical question the chapter sets out to answer.
The most sophisticated building techniques of the future will be those where each operation modifies without backtracking the product of the previous operations, generating well-adapted variety cheaply and easily without complex drawingsclaim0.765
Alexander's predictive claim about the character of optimal future construction methods.
"The most sophisticated building techniques of the future will be those where each operation modifies, without backtracking, the product of the previous operations. Such processes generate well-adapted variety, cheaply and easily."quote0.757
Alexander's predictive claim about optimal future construction methodology.
Mass produced tiles could not have achieved the fine-tuned adaptation to the whole that hand-made tiles achieved.claim0.754
Argument for craft-based, feedback-rich fabrication processes in architecture.
Fine-Tuning via Reinforcement Learningmethod0.754
Technique used to impose guardrails on base LLMs, analogized to censorship on the simulator's range of simulacra
Fine-tuningconcept0.753
Parameter updates that reduce mismatch dr; another anchoring variant in UCCT.
SOO fine-tuning could be extended to align AI representations of its own goals with human user preferences, reducing misalignment by fostering coherence between self-related and other-related preferenceshypothesis0.750
Future work hypothesis about extending SOO to direct value alignment